Question: is overfitting more or less likely when the training set is small or large? Is overfitting more or less likely when the number of parameters

is overfitting more or less likely when the training set is small or large? Is overfitting more or less
likely when the number of parameters to learn (such as the number of weights in a neural network)
is small or large

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